GitHub Trending Analyzer

Use this skill to provide a comprehensive, categorized summary of the latest trending repositories on GitHub, including daily, weekly, and monthly lists.

Workflow

1. Fetch Data: Use the provided script to fetch trending data for three time spans:
   • Daily: scripts/fetch_trending.sh daily
   • Weekly: scripts/fetch_trending.sh weekly
   • Monthly: scripts/fetch_trending.sh monthly
2. Full Inventory: List every single project found in each list. Do not omit any repositories.
3. Cross-List Deduplication: Note projects that appear in multiple spans (e.g., "appears in both Weekly and Monthly").
4. Deep Categorization: Group ALL discovered projects into logical buckets.
5. Hyperlinking: Every project mentioned MUST include its full GitHub URL.
6. Observation: Identify 3-5 high-level trends across the entire data set.

Categorization Taxonomy

• ⌨️ Terminal Agents & AI Coding: CLI tools, IDE plugins (Neovim/VSCode), and automated coding assistants.
• 🛡️ Autonomous Security: Pentesting agents, vulnerability scanners, and model jailbreak/un-censoring tools.
• 🧠 Memory & Knowledge Management: Agent memory layers, long-term persistence, and next-gen RAG/indexing.
• ⚙️ AI Infra & Protocols: MCP, SDKs, orchestration frameworks, and specialized model deployments (e.g., Cloudflare Workers).
• 🔓 Prompt Engineering & Data: System prompt collections, datasets, and meta-prompting tools.
• 🛠️ Productivity & Specialized Apps: Finance AI, media servers, diagram tools, and general AI assistants.

Output Structure

📅 Part 1: Full Trending Lists

Provide bulleted lists for Daily, Weekly, and Monthly, with short descriptions for each.

🏗️ Part 2: Categorized Analysis

Provide Markdown tables for each category:

💡 Part 3: Strategic Insights

Summarize the current "vibe" of GitHub (e.g., "The shift from Web to CLI").